This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...
Abstract: The participation of multi-type air conditioning (AC) load aggregation in power grid demand response can better help the power grid to suppress the peak-valley difference and absorb ...
Abstract: Quantum machine learning (QML) presents a promising avenue for addressing complex classification challenges, yet its application in medical imaging remains largely unexplored. This work ...
Scientists at the Department of Energy's Oak Ridge National Laboratory have created a new method that more than doubles computer processing speeds ...
Scientists at the Department of Energy's Oak Ridge National Laboratory have created a new method that more than doubles computer processing speeds while using 75% less memory to analyze plant imaging ...